Job description
We’re looking for a Product Engineer / AI Operator who can comfortably drop in anywhere across the product cycle—from defining a feature to deploying it in production. You’ll pair engineering expertise with an instinct and openness to use AI tools as an extension of your workflow. You can fill in the blanks when specs are thin, and you take full ownership of a task from start to finish. When a problem pushes you into unfamiliar territory, you figure it out and keep moving.
- Ship end-to-end features: Design, build, test, and launch new functionality and improvements.
- Embrace AI: Use AI coding tools and agents throughout design, development, testing, documentation, and operations.
- Own quality: Write clean, well-documented code, maintain sensible tests, and review PRs to keep standards high.
- Mentor and multiply: Share AI-driven workflows, pair with teammates, and spread learnings across the team.
- Collaborate across functions: Work with product, design, and engineering to enhance user experience and system performance.
- Support where needed: Handle tasks ranging from infrastructure tweaks to customer support.
Timezone: within CET ±3 hours
Must-Haves:
- 5+ years building production software, with strength in Python (FastAPI, async, distributed systems) _and_ solid JavaScript/TypeScript/React.
- Proven record of shipping and owning customer-facing features in a fast-moving team.
- Habitual power-user of AI dev tooling.
- Comfortable diving into unfamiliar domains—be that cloud ops, CI pipelines, mobile, or a gnarly customer workflow.
- Excellent written & verbal communication; you can explain trade-offs to engineers and non-engineers alike.
Desirable, but not strictly required:
- Experience working with LLMs.
- React Native / Expo.
- Cloud Ops (AWS, Azure), Terraform.
- AEC industry exposure–or curiosity to learn fast.
Stack: React / Typescript frontend, React Native / Expo iOS and Android apps, Python backend (FastAPI / pydantic / sqlalchemy), Postgres, Redis, and IaC via Terraform, deployed on AWS & Azure.
- Salary 60,000–90,000 (EUR) per year based on experience.
- Fully remote work environment with three offsites per year in different places around the world
- Competitive pay and generous stock-options package
- 38 paid days off annually (26 personal days, 12 German public holidays)
- Personal development stipend to help you grow
Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].
